This study compares the Malaysian coaching process?s key development themes with Cote and Gilbert?s (2009) Effective Coaching Model in Malaysian football development. The participant selection is based on purposive sampling involving fourteen head coaches from State Sports Schools throughout Malaysia. In addition, an in-depth semi-structured interview with open-ended questions was carried out and analysed following Glaser and Strauss?s constant comparative method (1967). Based on the analysis, the following seven new development themes have emerged in the context of the Malaysian coaching process as compared to Cote and Gilbert, Effective Coaching Model: i) signature coaching, ii) risk management, iii) fun elements, iv) empowerment, v) spirituality, vi) life skills and vii) coaching intervention. Subsequent exploration is recommended to identify how this knowledge is integrated into the coaching process and applied in the Malaysian football development program. ? Universiti Putra Malay.....

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Parents have authority in selecting the type of education for their toddlers. There are four types of early childhood education in Malaysia: agencies, private owners, home-based and government. Each have a different style of management and leadership profiles. Parents are aware that management and leadership style contributes to the effectiveness of an ECCE centre. This research aims at providing explanations for the factors contributing to the parents' perspective in selecting their children's early childhood education in Malaysia and their perception of the quality of ECCE in Malaysia. It also responds to parents' perception of their involvement and contributions towards their children's ECCE centre. The aforementioned will assist as an eye opener to parents and society in helping to modify or re-adjust their mode of parental perspectives on ECCE centre and their involvement towards accomplishing a better future for themselves and their children, notwithstanding their busy schedules .....

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Background: Crabs have been reported as a high exporter of protein and contains great nutritional value. Objective: It is necessary to identify the allergens and the cross-reactivity concerning the mud crab Scylla tranquebarica, shellfish, and mollusks for control of food safety and to facilitate in the identification and treatment of symptoms related to allergy. Methods: IgE extracted of serum from five patients who suffered from anaphylaxis due to crab and five healthy patients. It was taken for analysis via immunoblotting against 11 different crustaceans and molluscs. Results: Based on the analysis, the sera from the patients had responded specifically to a 38-kDa protein in all the crustaceans and molluscs, and it is known as tropomyosin. In certain absorption studies, the 38-kDa protein had exhibited to be the immunodominant epitopes among all crustaceans and molluscs. Sera from all five subjects with Scylla tranquebarica allergy showed IgE reactivates against crabs, prawns, and m.....

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A facile electrochemical sensor based on single-walled carbon nanotubes/magnesium layered hydroxide-3-(4-methoxyphenyl) propionate nanocomposites paste electrode (MWCNT/MLH-MPP) for determination of bisphenol A (BPA) and uric acid (UA) was constructed in this study. According to experiments, several parameters affecting the electroanalytical responses of the prepared electrode were optimised, such as amount of modifier, square wave voltammetry parameters, and pH effect. Under optimum experimental conditions, electrochemical current of BPA and UA oxidation were linearly proportional to the concentrations from 3.0 ? 10?7 M to 1.0 ? 10?4 M and 1.0 ? 10?7 M to 1.0 ? 10?4 M for BPA and UA respectively with the both limit of detection of 5.0 ? 10?8 M. The small percentage of relative peak currents changes with added some interference indicated that the modified electrode can be used for the determination of BPA and UA in real samples such as baby teether and urine. ? 2021. The Authors. Publi.....

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Missing data is a common problem in real-world data sets and it is amongst the most complex topics in computer science and many other research domains. The common ways to cope with missing values are either by elimination or imputation depending of the volume of the missing data and its distribution nature. It becomes imperative to come up with new imputation approaches along with efficient algorithms. Though most existing imputation methods focus on a moderate amount of missing data, imputation for high missing rates over 80% is still important but challenging. Even with the existence of some works in addressing high missing volume issue, they mostly rely on imputing reference dataset (Complete Datasets for evaluation) after they create artificial missing values and impute it to measure the accuracy of their proposed techniques. So far, the option of imputing high proportions of missing values with no reference comparison dataset (Original Dataset with highly missing values) have been.....

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The primary purpose of this study was to identify and compare the lower extremities' kinematic joints initiation sequence during the first pull phase of the classic snatch among male and female elite weightlifting athletes. As the secondary purpose, the maximal angle extension of joints, sub-phase duration, joint angular displacement and velocity, barbell velocity and the ground reaction force produced during the classic snatch sub-phases were determined and compared between genders. Six men (age: 19.9�2.29 years, height: 1.67�0.04 m, and body mass: 87.96�2.68 kg) and six women (age: 19.72�1.35 years, height: 1.55�0.42 m, and body mass: 70.25�10.78 kg) were tested for 85% of their 1 repetition classical snatch movement. Kinematics were captured at 100 Hz using a Qualisys motion capture system with eight cameras, and markers were placed bilaterally on the hips, knees and ankle joints. Kinetics were captured using the Kistler fixed force plate. The results revealed that a sig.....

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The tourism industry is a major contributor to the gross domestic product of several countries, including Malaysia. However, recent tourism growth has led to increase the industry's carbon dioxide (CO2). Low-carbon tourism, therefore, needs to be introduced to the sector to help curb global climate change. A comprehensive understanding of low-carbon tourism needs to be developed to achieve this goal. This article looks at the relevant studies in the literature using content analysis. By adopting a qualitative methodology, the article collected and assessed measurements of tourism's carbon emissions and examined the effects of implementing a low-carbon tourism programme. Some of the low-carbon strategies were listed by going through the entire implementation process of low-carbon tourism as an alternative form of tourism development. The discussion also focuses on how Covid-19 can influence low-carbon tourism development. A blueprint for a low-carbon recovery proposed by the Organisatio.....

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Fire hazard is a common threat in longhouses in Sarawak. Among things that are crucial in fire prevention is the evacuation route, in which highly dependent on house construction and layout. This study aims to observe the evolution of the Iban longhouse architectural design and materials used to build the longhouse. The qualitative analysis method was applied through 2D photo analysis as well as on-site visual observation and measurement. Construction materials used have been surveyed to determine its combustibility. It has been noted that longhouses have evolved over the years, from traditional to semi-traditional and modern longhouses design. The changes include the layout design and construction materials of the longhouses. Traditional and semi-traditional longhouses are often built using wooden materials that are highly flammable, while modern longhouses are made from concrete materials. The types of construction materials contribute to fire severity. It can be concluded that the l.....

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Deep Learning has proven its powerful performance in many fields as it is the sub-component of Artificial Intelligence. The use of traditional statistics methods in forecasting time series are less practicality and gives less valuable prediction. The aim of this study is to propose Recurrent Neural Network (RNN) model that suitable for forecasting Google Stock Price time series data. In this study, RNN with Long Short-Term (LSTM) and Gated Recurrent Unit (GRU) architectures are proposed as predictive models known as RNN-LSTM (2), RNN-LSTM (3), RNN-GRU (2), and RNN-GRU (3). The experimental results revealed that RNN-GRU (3) was the best model with lowest error measurements of Root Mean Square Error (RMSE), Median Absolute Percentage Error (MdAPE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Directional Accuracy (MDA). The proposed model showed its capability and applicability in predicting the future values of Google stock price data with good accuracy and.....

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Purpose: The paper aims to explore the role and the involvement of local community within the context of Malaysian early childhood centers (nursery and kindergarten). Design/methodology/approach: The research used a mixed method with a questionnaire survey in the first phase and qualitative interviews in the second phase. Quantitative data were obtained from a survey completed by 3,519 staffs from nursery and kindergarten all over Malaysia. Qualitative data were collected from individual and focus group semistructured interviews conducted with 140 participants of the Malaysian public and private internal and external stakeholders ranging from the relevant personnel of the early childhood care and education (ECCE) centers (administrators, teachers and practitioners), academic experts, regulatory agencies and parents. Findings: Survey results indicate that the parents and community involvement with ECCE centers from the perspective of the management and practitioners is in the medium cat.....

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